نتایج جستجو برای: agronomy
تعداد نتایج: 1874 فیلتر نتایج به سال:
For many years, on-farm yield evaluations of corn (Zea mays L.) hybrids were done with weigh wagons, handheld moisture testers, and measuring wheels. Today, most combines have continuous flow yield and moisture sensors. Published research results comparing the accuracy of combine-mounted sensor systems with that of weigh wagons are limited for on-farm corn hybrid evaluation. This study examined...
Center for Plant Science Innovation, Beadle Center for Biotechnology (L.Y., Y.D., C.Z., D.R.H.), Department of Agronomy and Horticulture (L.Y., D.R.H.), and School of Biological Sciences (Y.D., C.Z.), University of Nebraska, Lincoln, Nebraska 68588; and United States Department of Agriculture-Agricultural Research Service Cereal Disease Laboratory, University of Minnesota, St. Paul, Minnesota 5...
1School of Computer Science and Technology, Tianjin University, Tianjin 300354, China 2Institute of Informatics, Silesian University of Technology, 44-100 Gliwice, Poland 3Department of Mathematics and Statistics and Department of Agronomy, Horticulture, and Plant Science, BioSNTR, South Dakota State University, Brookings, SD 57007, USA 4Center for Bioinformatics and Systems Biology, Wake Fores...
2-1 Volume Three FORMATION AND STABILITY OF SUBSTITUTED PYROMORPHITE: A MOLECULAR MODELING STUDY Abhijit V. Shevade, Larry Erickson, Gary Pierzynski, and Shaoyi Jiang Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506; Phone: 785-532-5584; Fax: 785-532-7372; Department of Agronomy, Kansas State University, Manhattan, KS 66506; Phone: 785-532-7209; Fax: 785-532-6094.
United States Department of Agriculture-Agricultural Research Service Plant Science Research Unit, St. Paul, Minnesota 55108 (D.A.S.); Department of Plant Pathology, University of Minnesota, St. Paul, Minnesota 55108 (D.A.S.); United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research Unit, Ames, Iowa 50011 (M.A.G.); and Department of Agronomy,...
BY-PLANT PREDICTION OF CORN GRAIN YIELD USING OPTICAL SENSOR READINGS AND MEASURED PLANT HEIGHT Kent Martin a , William Raun b & John Solie c a Agronomy Department, Kansas State University, Garden City, Kansas, USA b Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, Oklahoma, USA c Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stil...
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